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iMouse: eye gesture control system

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dc.contributor.author Habib, Daud Bin
dc.contributor.author Bin Ashfaq, Muhammad Abdullah
dc.contributor.author Nasir, Amna
dc.contributor.author Aslam, Hina
dc.contributor.author Supervised by Muhammad Khan Minhas.
dc.date.accessioned 2020-11-03T03:48:17Z
dc.date.available 2020-11-03T03:48:17Z
dc.date.issued 2018-07
dc.identifier.other TCC-26 / BETE-51
dc.identifier.other PTC-317
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/8548
dc.description.abstract The project is aimed towards the design of an open-source generic eye-gesture control system that can effectively track eye-movements and enable the user to perform actions mapped to specific eye movements/gestures. It detects the pupil from the user’s face and then tracks its movements. It needs to be accurate and real-time, so that the user is able to use it like other every-day devices with comfort. The Hardware for this project has to be cheap so everyone can afford and use it, thus a Microsoft LifeCam HD-6000 is used. The project is designed such that it can Control the mouse cursor of a computer for patients suffering from diseases that render movements from the neck down ineffective. It should not be difficult to operate and must be user friendly and allow for easy calibration so that everyone, despite their limited technical knowledge or disability, is able to use it easily. The project works on computers with Linux as an operating System (OS). en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title iMouse: eye gesture control system en_US
dc.type Technical Report en_US


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